Abstract
Energy storage is an important element of an energy system. In the power system, energy storage can be defined as a component that can be employed to generate a form of energy or utilize previously stored energy at different locations or times when it is required. Energy storage can enhance the stability of the grid, increase the reliability and efficiency of integrated systems that include renewable energy resources, and can also reduce emissions. A diverse set of storage technologies are currently utilized for the energy storage systems (ESSs) in a varied set of projects. This chapter provides information about the current ESS projects around the world and emphasizes the leading countries that are developing the applications of ESSs. The main categories of ESSs are explained in this chapter as follows: electrochemical, electromechanical, electromagnetic, and thermal storage. Moreover, the energy storage technologies are utilized in power grids for various reasons such as electricity supply capacity, electric energy time-shifting, on-site power, electric supply reserve capacity, frequency regulation, voltage support, and electricity bill management. Additionally, by integrating the various energy forms and developing the concept of multi-energy systems, ESSs become a fundamental component for the efficient operation of multi-energy systems. The main role of ESSs in multi-energy systems is to compensate for the fluctuations in power output from renewable energy resources. Moreover, the performance of the multi-energy system increases when it got integrated with an ESS. In this chapter, the applied ESS technologies in the context of the multi-energy systems are presented and explained.

Abstract
Insect pests cause significant damage to agricultural production. Smart pest monitoring enables the automatic detection and identification of pests using artificial intelligence techniques. The automatic detection of pests is an important tool to help the farmer decide on the application of pesticides. Several studies were carried out to develop deep learning methods for detecting insect pests. However, it is still an open problem, as there are a scarcity and data features that do not allow the good performance of a deep learning method. Pest24 is a public dataset with great diversity and variability of insects, but it has a low detection rate. To improve detection performance in Pest24, this work proposes a method of automatic detection of insects using deep learning. Two experiments were carried out, applying the YOLOv5 with standard hyperparameters and the hyperparameter tuning obtained by the evolution algorithm. As a result, we obtained a performance superior to that reported in state of the art, with the YOLOv5 method with standard hyperparameters, with an mAP of 72.1%.

Abstract

Abstract
Smart cities are, by nature, spaces with a richness and diversity of technologies incorporated in their physical spaces, in such a way that they can be seen as a single intelligent and collaborative space. As technological pillars, two important layers arise – the sensory layer and the actuator layer, both of which are strongly interconnected with each other, emerging as a large Internet of Things network. This scenario reveals an enormous potential for marketing science and for the creation of innovative strategies to promote territories as touristic destinations. Within the multiple opportunities, there is space for the development of an interactive marketing experience, revolutionizing, through creative rethink, the way destinations interact with their visitors, and make known all their potential. Although in the context of tourism, there are three main moments in the visit process – the before, the during and the after, this work focuses on the moment of the destination visit – the during. In order to understand how creative rethink can be carried out to create innovative strategies to promote touristic destinations, an introduction is carried out, substantiating the concepts of digital marketing, smart cities and Internet of Things. Then, the methodology that governed the creation of a collaborative model for smart cities is clearly defined, being contextualized the importance of destinations-communication, the concept of a smart city and some of the major technology that support this concept. After contextualization and methodological aspects, this article presents a conceptual model where its components are described and where it is discussed how the model can take advantage of the variety of technologies that exist in a smart city, in order to allow innovative digital marketing strategies and innovating in the interaction between the city and the visitant, and vice versa – the vision of interactive digital marketing. In the model discussion, some interaction-scenarios and their main benefits are highlighted, which serve as examples for validating the proposed model. Finally, we present the work limitations and mains conclusions.

Abstract
This article presents the final design of the METIS/ELT warm support structure subsystem. It provides the mechanical interface between the cryostat and the Nasmyth platform, and it consists of three substructures: the elevation platform, the cryostat alignment structure, and the instrument access platform. The elevation platform is connected to the Nasmyth platform and holds the cryostat alignment platform, consisting of seven legs connected to three nodes. The cryostat alignment platform is a hexapod holding the cryostat, allowing maintenance, alignment, and positioning. The instrument access platform allows human access to the cryostat, it bears the cable support system and is prepared to support the future Single Laser Adaptive Optics system. The subsystem requirements, design trade-offs, interface considerations, and the substructures' final design and simulation results will be detailed as presented to the METIS Final Design Review in 2022.

Abstract
EMOS (The European Master in Official Statistics) was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. In this paper we address the need for training in Official Statistics, particularly in current times, where new skill sets and competencies are necessary. In particular, the needs for new data sources currently used by national statistical systems require the development of new methodologies. For that purpose, we do a matching between National Statistical Offices (NSO) needs and the offer from universities.